… Indeed, BenchSci found that if scientists took advantage of machine learning that read, …
early can often be a big plus, but it’s not the whole story. As we discuss, late adopters of the …

… The purpose of this paper is to provide a decision support system for managers to predict
an organization's probability of successful blockchain adoption using a machine learning …

… Therefore, they try to address this uncertainty by asking previous adopters how they have
fared with the use of the new product. These early adopters are more exposed to external …

… This study describes the results of a survey of practicing librarians regarding the adopter
category (innovator, early adopter, early majority, late majority, laggard) with which they identify …

… and psychological characteristics of defined adopter categories. Each category has been …
the closest contact to scientific sources and other innovators, followed by “early adopters” …

… early adopters or later adopters of Industry 4.0. The purpose of this paper is to investigate how
performance effects vary between early and late adopters … an early adopter or late adopter …

… This study examines the extent of open dataset use among early adopters using a cross-sectional
analysis of web analytic behavioral data. We quantify early users' extent of use of …

… machine learning algorithm, to analyze a corpus, or collection of written material about a
particular subject. In our case, we define the corpus to be a collection of existing academic …

… Machine learning holds great promise for lowering product and service costs, speeding up
… of categories of machine learning and then present three types of machine-learning usage at …

… early adopters of new technologies gain a first-mover economic advantage or does the risk of
adopting early … of backwardness” by learning from the mistakes of the early adopters. A third…